Models derived from other models are extremely common in machine learnin...
Environmental health studies are increasingly measuring endogenous omics...
ML models are increasingly being pushed to mobile devices, for low-laten...
Full-precision deep learning models are typically too large or costly to...
Mediation hypothesis testing for a large number of mediators is challeng...
In this work, we perform semantic segmentation of multiple defect types ...
Electron microscopy is widely used to explore defects in crystal structu...
Hypergraph offers a framework to depict the multilateral relationships i...
This paper reviews the first NTIRE challenge on quality enhancement of
c...
A practical and promising approach to parallelizing XPath queries was
pr...
Traffic signals as part of intelligent transportation systems can play a...